Data Provider Node Report

Transcription

1 Data Provider Node Report March 8, 2017 Joint Project Team Meeting for Sentinel Asia STEP3 (JPTM2017) Hani, Vietnam Yuji Takada Space Application and Operations Center Japan Aerospace Exploration Agency

2 Contents 1. ALOS-2 Observation Plan by EOR 2. Executed ALOS-2 Observation from 2016 to Feb., Importance of Quick EOR Submission & JAXA s Two Improvement Approaches 4. Summary 1

3 ALOS-2 Observation Plan by EOR 2

4 Emergency Observation (EO) Flow Disaster Occurrence IDC ADRC Disaster Information Emergency Observation Request (EOR) Archive images & Post disaster images Data Provider Node (DPN) Observation Plan Information Requesting Organization (JPT Members&ADRC Members) through cooperation with Dizaster Management Organaization Images, Products Images and Products Local information Feedback Report Sentinel Asia System Analyzed products VAPs Principal Data Analysis Node (P-DAN) Nominate Regional &Local user Data Analysis Node (DAN) 3

5 ALOS-2 Observation Plan in accordance with EOR from DMO When we make an observation plan, we consider mainly four points in order that Disaster Management organization (DMO) can use our observation data for their disaster response activities. Planned end-user of the observed information Purpose of the Request Disaster type and Damaged things Prioritized AOIs Once ALOS-2 observation plan is decided, we inform DMO and DAN of the observed area scene data, archived one and these provision time for their activities. 4

6 ALOS-2 Observation Plan in accordance with EOR from DMO Planned end-user of the observed information Who will use the observation data and Value Added Products (VAPs)? DMO uses them internal only or share them with other relevant organization. Because we try to make an observation plan to meet DMO s role of the disaster response activities. 5

7 ALOS-2 Observation Plan in accordance with EOR from DMO Purpose of the Request What does DMO aim to use the observation data and VAPs? Because we can make an observation plan taking into the account of the emergency level. Emergency Response e.g. Situation confirmation, Rescue activity, Evacuation activity Damage and Loss Assessment/Post Disaster Assessment Detection of hazard situation Recovery Planning 6

8 ALOS-2 Observation Plan in accordance with EOR from DMO Disaster type and Damaged things What is the disaster type and the damaged things by this disaster? According to the required damaged analysis, we make an observation plan with a suitable observation mode, e.g. for the damaged buildings the Ultra Fine mode is required, for wide area flood the ScanSAR mode is required and which polarizations are required and so on. PALSAR-2/ALOS-2 Resolution Ultra Fine High sensitive Fine ScanSAR Resolution 3m 6m 10m 100m Swath 50km 50km 70km 350km Polarization SP/DP SP/DP/FP SP/DP SP : HH or VV or HV, DP : HH+HV or VV+VH, FP : HH+HV+VH+VV 7

9 ALOS-2 Observation Plan in accordance with EOR from DMO Prioritized AOIs Please prioritize AOIs for more than one AOI or AOI s area, because we do not know the damaged status and DMO s disaster response activities plan. We want to observe as many AOIs as possible, but ALOS-2 can not observe all required AOI at once. 8

10 Executed ALOS-2 Observation from 2016 to Feb.,

11 10 kinds of Occurred Disaster Types. Volcanic Eruption, 1, 3% Oil spill, 1, 3% Forest Fire, 1, 3% Earthquake, 5, 14% Flood, 14, 40% Lahar, 1, 3% Flash Flood, 2, 6% Landslide, 2, 6% Typhoon, 4, 11% Cyclone, 4, 11% 10

12 EOs were required 35 times. ALOS-2 observation was 29 times. Volcanic Eruption, 1, 3% Oil spill, 1, 3% Forest Fire, 1, 3% Earthquake, 5, 14% Flood, 14, 40% Lahar, 1, 3% Flash Flood, 2, 6% Landslide, 2, 6% Typhoon, 4, 11% Cyclone, 4, 11% 11

13 Water related disaster (Flood & Cyclone/Typhoon) occupied 62% of total disaster. Volcanic Eruption, 1, 3% Oil spill, 1, 3% Forest Fire, 1, 3% Earthquake, 5, 14% Flood, 14, 40% Lahar, 1, 3% Flash Flood, 2, 6% Landslide, 2, 6% Typhoon, 4, 11% Cyclone, 4, 11% 12

14 List of Emergency Observation & ALOS-2 Observation (1/5) Country Region Disaster Type Occurrence Date Request ALOS-2 Observation Quick Look Analysis on WEB-GIS (trial after July 2016 ) Taiwan Southern Taiwan Earthquake 2016/2/6 2016/2/6 2016/2/9 - Myanmar Notern part of Myanmar Flood 2016/2/ /2/ /2/25 - Fiji Throughout Fiji Cyclone 2016/2/ /2/ /2/24 - Indonesia West Java provinces Flood 2016/2/ /3/1 - - Indonesia West Java provinces Flood 2016/3/8 2016/3/ /3/17 - Taiwan North coast of Taiwan Oil spill 2016/3/ /3/ /4/5 - Philippines Mt.Apo, Mindanao Forest Fire 2016/3/ /3/ /4/4-13

15 List of Emergency Observation & ALOS-2 Observation (2/5) Country Region Disaster Type Occurrence Date Request ALOS-2 Observation Quick Look Analysis on WEB-GIS (trial after July 2016 ) Pakistan Pakistan Japan Kohistan district, Khyber Pakhtunkhwa Province Dana Kachili area of Muzaffarabad district Kumamoto prefecture, Kyushuu district Landslide 2016/4/4 2016/4/5 2016/4/6 - Landslide 2016/4/ /4/ Earthquake 2016/4/ /4/ /4/16 - Sri Lanka The whole area of Sri Lanka Flood 2016/5/ /5/ /5/17 - Indonesia Mt. Shinabung, Sumatora Island Volcanic Eruption 2016/5/ /5/ /6/1 - Bangladesh Coastal area of Bangladesh Cyclone 2016/5/ /5/ /5/28 - Indonesia Yogyakarta Landslide, Flood 2016/6/ /6/ /6/20-14

16 List of Emergency Observation & ALOS-2 Observation (3/5) Country Region Disaster Type Occurrence Date Request ALOS-2 Observation Quick Look Analysis on WEB-GIS (trial after July 2016 ) Nepal Koshi river Flood, etc. 2016/7/5 2016/7/6 2016/7/10 Taiwan Taitung city Typhoon 2016/7/7 2016/7/7 2016/7/17 Bangladesh Northern part of Bangladesh Flood 2016/7/ /8/1 2016/8/4 Bhutan Myanmar Southern part of Bhutan *Two AOI points 9 region along Ayeyarwady river Flood 2016/7/ /8/2 2016/8/11 Flood 2016/8/3 2016/8/4 2016/8/7 Laos Luang Phabang Flash Flood 2016/8/ /8/ /8/27 India Bihar and Uttar Pradesh Flood 2016/8/ /8/ /8/

17 List of Emergency Observation & ALOS-2 Observation (4/5) Country Region Disaster Type Occurrence Date Request ALOS-2 Observation Quick Look Analysis on WEB-GIS (trial after July 2016 ) Myanmar Central Myanmar Earthquake 2016/8/ /8/ Taiwan southern part of Taiwan Typhoon 2016/9/ /9/ Philippines islands of northern Philippines Tropical cyclone 2016/9/ /9/ /9/25 Taiwan Kaohsiung city Typhoon 2016/9/ /9/ /9/30 Vietnam Quang Binh Province Flood 2016/10/ /10/ /10/18 Philippines Cagayan Province Typhoon 2016/10/ /10/ /10/28 No due to MTC analysis Vietnam Hà Tĩnh province and other Flood 2016/10/28 to 2016/11/5 2016/11/1 2016/11/4 16

18 List of Emergency Observation & ALOS-2 Observation (5/5) Country Region Disaster Type Occurrence Date Request ALOS-2 Observation Quick Look Analysis on WEB-GIS (trial after July 2016 ) Indonesia AcehProvince Earthquake 2016/12/6 2016/12/7 - - India Chennai Cyclone 2016/12/ /12/ Nepal Mountain area in northern part of Nepal Flash Flood 2016/12/ /12/ /12/30 Philippines Around Mt. Mayon Lahar 2016/12/ /12/ /1/5 Thailand Southern part of Thailand Flood 2017/1/6 2017/1/ /1/20 Philippines Mindanao, Ruzon Flood 2017/1/ /1/ /1/25 No due to no archived data Philippines Mindanao, Surigao City Earthquake 2017/2/ /2/ /2/20 No due to InSAR analysis 17

19 Importance of Quick EOR Submission & JAXA s Two Improvement Approaches 18

20 Time delay from Disaster Occurrence to EOR submission It seemed that DMO took more than 1 day to submit EOR. Country Region Type Occurrence Date Request EOR received time after disaster occurrence Vietnam Quang Binh Province Flood 2016/10/ /10/16 2 days Vietnam Hà Tĩnh province and other Flood 2016/10/28 to 2016/11/5 (It might be 2016/10/31?) 2016/11/1 4 days (1 day?) Philippines Around Mt. Mayon Lahar 2016/12/ /12/28 5 days Thailand Southern part of Thailand Flood 2017/1/6 2017/1/11 8 days Philippines Mindanao, Ruzon Flood 2017/1/ /1/24 8 days 19

21 Time delay from Disaster Occurrence to EOR submission If DMO submits EOR immediately after disaster occurred, you could get the observation data and VAPs by DAN sooner. Country Region Type Occurrence Date Request EOR received time after disaster occurrence Vietnam Quang Binh Province Flood 2016/10/ /10/16 2 days->1 day could be Vietnam Hà Tĩnh province and other Flood 2016/10/28 to 2016/11/5 (It might be 2016/10/31?) 2016/11/1 4 days->1 day could be (1 day?) Philippines Around Mt. Mayon Lahar 2016/12/ /12/28 5 days->1 day could be Thailand Southern part of Thailand Flood 2017/1/6 2017/1/11 8 days->1 day could be Philippines Mindanao, Ruzon Flood 2017/1/ /1/24 8 days->1 day could be 20

22 Time delay from Disaster Occurrence to EOR submission (for other EOR cases) Country Region Type Occurrence Date Request EOR received time after disaster occurrence Myanmar Notern part of Myanmar Flood 2016/2/ /2/24 0 day Indonesia West Java provinces Flood 2016/2/ /3/1 1 day Indonesia West Java provinces Flood 2016/3/8 2016/3/14 6 days Sri Lanka The whole area of Sri Lanka Flood 2016/5/ /5/15 1 day Indonesia Yogyakarta Landslide, Flood 2016/6/ /6/20 1 day Nepal Koshi river Flood, etc. 2016/7/5 2016/7/6 1 day Bangladesh Northern part of Bangladesh Flood 2016/7/ /8/1 1 day Bhutan Southern part of Bhutan *Two AOI points Flood 2016/7/ /8/2 3 days Myanmar 9 region along Ayeyarwady river Flood 2016/8/3 2016/8/4 1 day India Bihar and Uttar Pradesh Flood 2016/8/ /8/26 1 day 21

23 JAXA s Improvement Approach 1 Water related disaster was 62% of total disaster from 2016 to Feb., It could be possible to minimize the damages by this water related disaster, if we get the information about the rainfall status. DPN as JAXA monitors the rainfall status by using GSMaP_NOW, to be able to take a prompt DPN action as much as possible. 22

24 72h Accumulative Rain by GSMaP_NOW (GSMaP_NOW started this service on 29 Aug., 2016.) GSMaP_NOW produces rainfall map over the of geostationary satellite "Himawari" area (60 N - 60 S, 84.9 E W), using passive microwave observations. 72-hour rainfall accumulation is available. 23

25 GSMaP 72h Accumulative Rain Relation between Occurred Flood&Lahar and 72h Accumulative Rain? 24

26 GSMaP 72h (12 to 14 Oct.) Accumulative Rain Flood in Vietnam Quang Binh Province on 2016/10/14 25

27 GSMaP 72h (29 to 31 Oct.) Accumulative Rain Flood in Vietnam Hà Tĩnh province from 2016/10/28 to 2016/11/5 26

28 GSMaP 72h (24 to 26 Dec.) Accumulative Rain Lahar Philippines around Mt. Mayon on 2016/12/26 27

29 GSMaP 72h (4 to 6 Jan.) Accumulative Rain Flood in Thailand Southern part on 2017/1/6 28

30 GSMaP 72h (14 to 16 Jan.) Accumulative Rain Flood in Philippines Mindanao, Ruzon on 2017/1/16 29

31 GSMaP 72h Accumulative Rain We may be able to refer to GSMaP 72h rainfall accumulation data for the water related disaster might occur. 30

32 JAXA s Improvement Approach 2 Quick Look Analysis might be able to reduce the time required data provision, and be of DMO s help about SAR data looking. Country Region Disaster Type Occurrence Date Request ALOS-2 Observation Quick Look Analysis on WEB-GIS (trial after July 2016 ) Vietnam Quang Binh Province Flood 2016/10/ /10/ /10/18 Vietnam Hà Tĩnh province and other Flood 2016/10/28 to 2016/11/5 2016/11/1 2016/11/4 31

33 Flood Quick Look Analysis ( Vietnam Quang Binh Province on 2016/10/14 32

34 Flood Quick Look Analysis ( Vietnam Quang Binh Province on 2016/10/14 RGB Color Composite Analysis using pre-disaster data and post-disaster one. Red area might be thought as flooded area. R:G:B=2016/06/26data:2016/10/16data:2016/10/16data lake lake 33

35 Flood Quick Look Analysis ( Vietnam Hà Tĩnh province from 2016/10/28 to 2016/11/5 34

36 Flood Quick Look Analysis ( Vietnam Hà Tĩnh province from 2016/10/28 to 2016/11/5 Polarimetric Analysis using a phenomenon of backscatter value getting less on the water surface. Black area might be thought as flooded area. lake 35

37 Summary For DMO s disaster response activities; Exact EOR; DPN can consider the observation plan to meet DMO s aims. Quick EOR; DMO can capture opportunity to get the observation data and VAPs timely. DMO s feedback for DPN & DAN activities and JAXA s two improvement approaches, makes DPN & DAN improve their activities and makes Sentinel Asia progress. 36

38 Status of Reply for Feedback (1/3) JAXA asked 14 DMOs for feedback, 3 DMOs replied. JAXA has been waiting for your reply. Country Region Type Reply to Feedback Nepal Koshi river Flood, etc. No reply Taiwan Taitung city Typhoon Replied Bangladesh Northern part of Bangladesh Flood No reply Bhutan Southern part of Bhutan *Two AOI points Flood Replied Myanmar 9 region along Ayeyarwady river Flood Replied Laos Luang Phabang Flash Flood No reply India Bihar and Uttar Pradesh Flood No reply 37

39 Feedback from RRD of Myanmar VAPs were very useful to the persons who have knowledge how to interpret the map and definition of the colors mentioned in the map. But the problem we occurred in the real situation was that the VAPs can only show the extent of the water, not the depth of the water and the end users for the products highlighted that the water shown in map was not really flood. The depth of the water 1 feet (ca.3cm) was not a real flood. If SA can make a flood map eliminating less than 1 feet depth water, this VAP might be understandable for the end user and it meets the end user requirement. 38

40 Status of Reply for Feedback (2/3) Country Region Type Reply to Feedback Philippines islands of northern Philippines Tropical cyclone Not ask for feedback Taiwan Kaohsiung city Typhoon No reply Vietnam Quang Binh Province Flood No reply Philippines Cagayan Province Typhoon No reply Vietnam Hà Tĩnh province and other Flood No reply 39

41 Status of Reply for Feedback (3/3) Country Region Type Reply to Feedback Nepal Mountain area in northern part of Nepal Flash Flood No reply Philippines Around Mt. Mayon Lahar No reply Thailand Southern part of Thailand Flood No reply Philippines Mindanao, Ruzon Flood Not ask for feedback Philippines Mindanao, Surigao City Earthquake Not ask for feedback 40

42 Feedback for the response of Sentinel Asia EO (Lahar 25 Dec 2016) (1/4) From: 高田裕司 Sent: Thursday, February 23, :53 PM To: Cc: Subject: [Z-SENTINEL.ASIA:00537] Feedback for the response of Sentinel Asia EO (Lahar 25 Dec 2016) Dear Mr. Felino Castro (DSWD), Dear Sir and Madam (Office of Civil Defense), Thank you for your contribution for Sentinel Asia (SA). According your EOR (ERPHVS000018), SA observed the required AOI and provided the VAP (Value Added Products). SA wants to know that how the observation data and VAPs were used for your disaster response activities. We would really appreciate it if you could provide answers to the following questions, in order to make our SA activities better and more helpful. 41

43 Feedback for the response of Sentinel Asia EO (Lahar 25 Dec 2016) (2/4) 1) The provided VAPs of Product-AIT(*) and Product-JPYU(*) were easy to understand? If not, please tell us your requirements how VAP should be improved. These VAPs showed the flooded area, they might not meet your required lahar analysis, even though lahar analysis was described in Disaster Situation of SA web site. SA asks DAN to confirm what kind of damage analysis is required. (*)Provided VAPs: Product-AIT and Product-JPYU are on the url. It is in a single statement. brequestdetailaction.requestid=erphvs000018&subset_name =Emergency+Observation&submit.countryIdx=&submit.disaste rtypeidx= 42

44 Feedback for the response of Sentinel Asia EO (Lahar 25 Dec 2016) (3/4) 2) Is the WEB-GIS ( useful and helpful for your analysis or understanding? You can compare this RGB Color composite analysis (R:G:B=Pre-disaster:Post-disaster:Predisaster) of WEB-GIS with the Lahar hazard maps of Mt. Mayon that had been developed in SA Success Story Project. There seems to be some colored point (long,lat= , ) on Mt. Mayon stream(channel) of this analysis. This point might be a lahar occurred place. Have you found out the lahar area by using another way, e.g. airplane and so on. If so, could you please compare this RGB Color composite analysis with your lahar information? Could you please tell us your results? This WEB-GIS is still a trial implementation in Japanese. Please find the attached file to operate the WEB-GIS. 43

45 Feedback for the response of Sentinel Asia EO (Lahar 25 Dec 2016) (4/4) 3) For what kinds of your disaster response activities did you use VPAs and how helpful were they. We would really appreciate it if you could provide answers concretely giving some actual examples. When you could not use them, please tell us your honest reason or claims. 4) Your any comments please. Regards, Takada/JAXA Sentinel Asia Secretariat 44

46 Feedback for the response of Sentinel Asia EO (Lahar 25 Dec 2016) [ 45

47 Feedback for the response of Sentinel Asia EO (Lahar 25 Dec 2016) [ Lahar might occur at this colored point (long,lat= , ) on Mt. Mayon stream(channel) of this analysis. 46

48 Feedback for the response of Sentinel Asia EO (Lahar 25 Dec 2016) [ Lahar might occur at this colored point (long,lat= , ) on Mt. Mayon stream(channel) of this analysis. 47

49 Compare Lahar Analysis using ALOS-2 observation data of 5 Jan and Lahar hazard maps of Mt. Mayon Figure1. Lahar Analysis using ALOS-2 observation data of 5 Jan and a compatible archived one of 26 May 2016 Reference: Feedback for the response of Sentinel Asia EO (Lahar 25 Dec 2016) [ Reference: Page 8 Contribution od Space Technology for DRR -Sentinel Asia's 10th Anniversary- Good Practices 48